the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantifying national, state, and oil/gas field methane emissions and trends in the U.S. (2019–2024) through high resolution inversion of satellite observations
Abstract. We quantify trends of U.S. methane emissions at the national, state, and oil/gas field levels for 2019–2024 through high-resolution (up to ~25 km) analytical inversion of TROPOMI satellite observations with the open-source Integrated Methane Inversion (IMI 2.1). We find that total anthropogenic methane emissions (37 Tg a-1) are 34 % higher in magnitude than reported in the U.S. Environmental Protection Agency (EPA) Greenhouse Gas Inventory (GHGI) that provided prior estimates for the inversion. Oil/gas emissions are 64 % higher than the GHGI, consistent with previous studies. Total emissions are flat over the 2019–2024 period (0.0 ± 1.0 % a-1) but this total reflects a combination of decreasing emissions from the oil/gas (-1.1 ± 0.9 % a-1), coal (-2.3 ± 1.3 % a-1), and rice (-9.1 % ± 2.0 a-1) sectors, offset by increases in the livestock (1.8 ± 1.3 % a-1) and landfill (0.5 ± 1.4 % a-1) sectors. The methane intensity from the oil/gas sector continues its downward trend, from 2.3 % to 1.9 % over the 2019–2024 period, but unlike in previous studies we find that this trend does not simply reflect an increase in production but also a decrease in emissions, demonstrating improved emission management. Over half of total U.S. emissions originate from ten states, most dominated by fuel exploitation. Emission inventories compiled by individual states do not always improve on GHGI state estimates. Methane intensities decrease for all major oil/gas fields except those with declining production.
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Status: open (until 19 Jun 2026)
- RC1: 'Comment on egusphere-2026-655', Anonymous Referee #1, 14 May 2026 reply
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General comments:
Estrada et al. present the results of a series of annual optimizations of methane emissions in the continental U.S. using TROPOMI satellite retrievals. This is a key progression from previous satellite inversions of methane emissions in the U.S. that were more limited in horizontal resolution, spatial extent, or time range. The manuscript is written clearly and presents external validation of methane emissions by sector at national and sub-national scales alongside an easily accessible online visualization tool, demonstrating the utility of their software for informing efforts to mitigate methane emissions in the U.S. and beyond. The work would benefit from some additional detail on a couple of their assumptions and comparisons, but overall, this is an impactful contribution to the ongoing discussion of methane emissions in scientific and policy communities.
Specific comments:
Technical corrections: